Recent Progress in Mobile Robot Harunobu-4

  • Hideo Mori
Chapter
Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)

Abstract

Many research groups have developed outdoor mobile robots and have tested them on roads. Martin Marietta (Denver) has developed “ALVin,” an autonomous mobile robot of 2.7 m in width, 4.2 m in length, 3.1 m in height, and 6 tons in weight. It takes about 2 s to process an image. ALVin has reached about 20 km/h on an unobstructed road [15]. Carnegie—Mellon University (MU) has developed “NAVLAB,” which is based on a commercial van chassis of 4 tons in weight. NAVLAB has reached 1.6 km/h on driveways on the CMU campus. It takes about 20 s to process an image [16].

Keywords

Mobile Robot Sign Pattern Intelligent Robot Autonomous Mobile Robot Visuomotor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. [1]
    Ballard, D. H. (1989). “Reference Frames for Animate Vision, Proc. 11th Int’l. Conf. Artificial Intelligence, 1635–1641.Google Scholar
  2. [2]
    Brooks, R. A., and Flynn, A. M. (1989). “Robot Beings.” Proc. IEEE Int’l. Workshop on Intelligent Robots and Systems ‘89, 2–10.Google Scholar
  3. [3]
    Chen, H., and Mori, H. (1989). “Sign Pattern Detection on Shaded Road.” Proc. IEEE Int’l. Workshop on Intelligent Robots and Systems’89, 350–357.Google Scholar
  4. [4]
    Graefe, V. (1989). “Dynamic Vision Systems for Autonomous Mobile Robots.” Proc. Int’l. Workshop on Intelligent Robots and Systems’89, 12–23.Google Scholar
  5. [5]
    Kawato, M., Isobe, M., Maeda, Y., and Suzuki, R. (1988). “Coordinates Transformation and Learning Control for Visually Guided Voluntary Movement with Iteration.” Biological Cybernetics 59, 161–177.MathSciNetMATHCrossRefGoogle Scholar
  6. [6]
    Kunert, K.-D. and Graefe, V. (1988). “Vision Systems for Autonomous Mobility.” Proc. IEEE Int’l. Workshop on Intelligent Robotics and Systems’88, 477–482.Google Scholar
  7. [7]
    Mori, H., Ishiguro, H., Kotani, S., Yasutomi, S., and Chino, Y. (1988). “A Mobile Robot Strategy Applied to Harunobu-4.” Proc. 9th Int’l. Conf. on Pattern Recognition, 525–530.Google Scholar
  8. [8]
    Mori, H., Nakai, M., Chen, H., Nakayama, S., and Yuguchi, T. (1989). “A Mobile Robot Strategy—Stereotype Motion by Sign Pattern.” Proc. 5th Int’l. Symposium of Robotics Research, 225–236.Google Scholar
  9. [9]
    Mori, H. Nakai, M., Chen, H., Yuguchi, T., and Nakayama, S. (1989). “Steering Panning Control in Stereotyped Motion.” Proc. IEEE Int’l Workshop on Intelligent Robots and Systems’89, 155–162.Google Scholar
  10. [10]
    Schneider, G. E. (1967). “Contrasting Visuomotor Functions of Tectum and Cortex in the Golden Hamster.” Psychol. Forsch. 31, 52–62.CrossRefGoogle Scholar
  11. [11]
    Schneider, G. E. (1969). “Two Visual Systems.” Science 163, 895–902.CrossRefGoogle Scholar
  12. [12]
    Tinbergen, N., (1951). The Study of Instinct. Oxford Univ. Press, London and New York.Google Scholar
  13. [13]
    Trevarthen, C. B. (1968). “Two Mechanisms of Vision in Primates.” Psychol. Forsch. 31, 299–337.CrossRefGoogle Scholar
  14. [14]
    Trevarthen, C. B., and Sperry, R. W. (1973). “Perceptual Unity of the Ambient Visual Field in Human Commissurotomy Patients.” Brain 96, 547–570.CrossRefGoogle Scholar
  15. [15]
    Turk, M. A., Morgenthaler, D. G., Gremban, K. D., and Marr, M. (1988). “VITS—A Vision System for Autonormous Land Vehicle Navigation.” IEEE Trans, on PAMI 10 (3), 342–361.CrossRefGoogle Scholar
  16. [16]
    Thorpe, C., Herbert, M. H., Kanade, T., and Shafer, S. A. (1988). “Vision and Navigation for the Carnegie—Mellon Navlab. IEEE Trans on PAMI 10 (3), 362–373.CrossRefGoogle Scholar
  17. [17]
    Mori, H. (1990). “Active Sensing in Stereotyped Motion.” Proc. IEEE Int’l Workshop on Intelligent Robots and Systems’90, 167–174.Google Scholar

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© Springer-Verlag New York, Inc. 1992

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  • Hideo Mori

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